Common mode noise cancellation

ABSTRACT

A noise cancellation system configured to isolate and process a common mode noise signal to generate a cancellation signal. The cancellation signal is combined with a differential signal to cancel unwanted differential mode noise that coupled onto the differential signal. In one embodiment a multi-channel communication system utilizes two or more channels that are in close proximity to other alien channels. A common mode signal isolation unit is configured to isolate common mode noise. The common mode noise signal is processed with a filter or other means to generate a cancellation signal. The cancellation signal is combined with the differential signal to thereby cancel noise that coupled onto the differential signal. The processed common mode noise signal may be made to approximate the differential mode noise signal. The common mode signal may be obtained from a center tap of a transformer, or a sensing winding of a three winding transformer.

RELATED APPLICATION DATA

This application is a continuation-in-part of U.S. patent application Ser. No. 10/717,702, filed Nov. 19, 2003, which is a continuation-in-part of U.S. patent application Ser. No. 10/658,117, filed Sep. 8, 2003.

FIELD OF THE INVENTION

The invention relates to multichannel data transmission systems and more particularly to a method and apparatus for the removal of crosstalk and other interference in a multichannel communication system.

RELATED ART

It is commonly accepted practice to transmit data between remote locations over some form of transmission medium. The growing popularity of electronic data exchange is increasing the demand for high rate data transmit speeds between remote locations. Multichannel communication systems have found application in many situations it is desirable to increase the rate of data exchange. The use of multiple channels often increases the effective transmit rate over a single channel system. Examples include wireless communication systems with multiple transmit and multiple receive antennas and Ethernet systems (using four copper pairs per link).

In those examples, information is transmitted in a coordinated fashion across the multiple channels to utilize all of the channels of the physical transmission medium. Further, coordinated multichannel signaling can be utilized in applications where a point-to-multipoint communication link is desired. One example is the case where a wireless base station communicates with multiple mobile transceivers. Another example includes the case of DSL access multiplexers in a telephone central office communicating with multiple customer DSL modems in a star network using one pair per customer.

As a drawback to these prior art systems, interference is often a major degradation factor limiting the performance of communication systems. In the single channel transmission systems, intersymbol interference (ISI) is a major impairment and modern transceivers employ a variety of techniques to mitigate it (channel equalization). In multichannel communication systems there is further interference due to interactions across the communication channels. This interaction across communication channels is often referred to as crosstalk. For example, in wireline communications crosstalk is generated due to electromagnetic coupling when copper pairs travel in close proximity for long distances, or even short distances depending on the relative signal strengths. In wireless communications, crosstalk is generated when multiple users transmit signals whose energy partially overlaps in frequency and/or time.

Crosstalk is classified as near end (NEXT) or far end (FEXT) crosstalk depending on the location of the aggressor transmitter, i.e., whether the aggressor transmitter is at the near end or the far end in reference to the victim receiver. Furthermore, in the context of a multichannel system, crosstalk is often classified as self or alien crosstalk. Self crosstalk originates from the transmitters which are part of the coordinated multichannel transceiver. Alien crosstalk originates from the transmitters which are not part of the coordinated multichannel transceiver. Alien crosstalk can be particularly troublesome because it originates from other transmitters or channels (e.g., legacy systems) that are not part of the system under design and to which the system under design does not have access to for purposes of crosstalk cancellation.

Prior art systems suffer from the drawback of being unable to adequately remove or account for unwanted crosstalk. As a result, the effective data transmit rate may be reduced below desired levels or below those levels that are desired or otherwise achievable. In other instances repeated occurrences of re-transmit requests may slow operation. This is especially problematic in multi-channel communication systems due to such systems primary function being a highly efficient and high-speed communication system.

There is therefore a need in the art for a method and apparatus to overcome the drawbacks of crosstalk in multichannel communication systems. The present invention, which is described below in various embodiments, provides a solution to these drawbacks and provides additional benefits which are also discussed.

Yet another drawback of prior art systems is that such systems do not remove or mitigate all of the unwanted sources of noise. While it is commonly understood that the signal of interest may be transmitted as a differential mode signal, prior art systems may not address common mode noise that couples into the signal during transmission. Failure to remove or mitigate common mode noise may hinder signal recovery and thereby lower effective transmit rates.

SUMMARY

To overcome the drawbacks of the prior art, the method and apparatus described herein reduces self and alien NEXT and FEXT crosstalk in multichannel transmission systems. It is contemplated that any multichannel environment may benefit from the method and apparatus described herein including, but not limited to, twisted copper, coax cable, fiber optic, free space, wireless, or any other metallic or multichannel medium.

In one embodiment a method for filtering two or more signals received over two or more primary channels in a multichannel communication system is disclosed. This method may comprise the steps of receiving two or more signals over two or more primary channels such that the two or more primary channels are adjacent (i.e., receive interference from) at least one alien channel and then pre-processing at least one the two or more signals to create two or more pre-processed signals. The two or more pre-processed signals are provided to a matrix filter and the matrix filter is configured with a transfer function that is the inverse of the two or more channels (including their inter-coupling channels) to thereby cancel the unwanted coupling onto the two or more primary channels from the primary channels. The matrix filter is also configured to reverse the phase and amplitude distortions of the channel on each of the two or more signals. Next the matrix filter may process the two or more pre-processed signals to generate two or more output signals and then process the two or more outputs to isolate a noise term associated with at least one channel. This noise term is then filtered to generate at least one noise cancellation signal which is combined with at least one of the two or more output signals, wherein combining the noise cancellation signal with at least one of the two or more output signals cancels unwanted noise on the at least one of the two or more output signals.

In one embodiment the step of pre-processing the two or more received signals comprises discrete multi-tone type processing. The matrix filter may comprise a feed forward matrix filter configured to cancel self FEXT and distortion caused by transmission through a channel. In one embodiment the noise term comprises the difference between an output signal from the feed forward matrix filter for a particular channel and an output from a slicer (or data detector) for a particular channel. In one embodiment the matrix filter comprises a digital signal processor executing software code. It is contemplated that there may be twelve channels and the step of filtering the noise term may comprise providing the noise term to a filter that is tailored to generate a cancellation signal capable of canceling noise on one or more subsequent channels. In other embodiments there may be any number of channels. Various embodiments may comprise six to fourteen channels.

Also disclosed herein is a system for processing two or more signals associated with a multi-channel communication path wherein a signal is associated with each channel of the multi-channel communication path. This system cancels coupling onto the two or more signals from other of the signals associated with a multi-channel communication system or signals associated with other communication systems. This system may comprise a first filter system and a second filter system. The first filter system may comprise two or more inputs configured to receive the two or more signals and at least one multiplier associated with each channel of the multi-channel communication path. The multipliers are configured to perform multiplication between the signal associated with the channel and at least one filter value multiplier to create a first filter system output associated with each channel. The first filter may also have two or more outputs configured to provide the first filter system output to the second filter system.

The second filter system may comprise a decision device associated with each channel to generate a decision signal and a first junction associated with each channel that is configured to combine the decision signal with the first filter system output or a signal based on the first filter system output. This combination generates a noise signal and at least one filter configured to process the noise signal to generate a cancellation signal. The second filter system also comprises at least one second junction configured to combine the cancellation signal with a first filter system output to thereby cancel noise from at least one first filter system output.

It is contemplated that the coupling may comprise alien FEXT and alien NEXT. In various embodiments the decision device comprises a slicer and the decision signal represents a decision regarding an aspect of transmitted signal value. In one embodiment the first filter system comprises an M by M matrix filter and the variable M represents the number of channels. In one embodiment the channels comprise a first through Mth channel and the first filter system output comprises a first filter system output associated with each channel and the second filter system operates on a first channel signal to generate a first channel noise cancellation signal that is provided to at least the second channel to cancel noise on the second channel. Furthermore, it is contemplated that the second channel signal, after combination with the first channel noise cancellation signal, is provided to a decision device associated with the second channel and a cancellation signal may be provided to a third channel that accounts for the noise filtered from the signal on the first channel and the signal on the second channel. This process is repeated until all M channels are exhausted. In particular, in one embodiment the Mth (last) channel will be combined with noise cancellation signals from all previous M-1 channels.

In yet another embodiment a method is disclosed for processing two or more received primary signals to cancel unwanted coupling onto the two more primary signals from alien signals. This method comprises receiving two or more signals, such that each of the two or more signals comprises primary components and coupling components. For a first signal of the two or more signals the method performs a decision operation to isolate the primary component and then subtracts the primary component from the first signal to isolate the coupling component. Filtering occurs on the coupling component to generate a cancellation signal and then the method combines the cancellation signal with the second signal of the two or more signals to remove at least a portion of the coupling component from the second signal.

In one embodiment the two or more signals comprises twelve signals received over twelve twisted pair conductors. In other embodiments the number of channels may comprise six to fourteen channels. In one embodiment the filtering comprises multiplying the coupling component by a complex number to generate a cancellation signal. It is contemplated that the coupling component may comprise alien NEXT, alien FEXT, or both.

This method may also comprise the steps of performing a decision operation on the second signal to isolate the primary component of the second signal and then subtracting the primary component of the second signal from the second signal to isolate the coupling component of the second signal. This method may then filter the coupling component of the second signal to generate a second cancellation signal and combine the cancellation signal from the first channel and the second cancellation signal with a third signal to remove at least a portion of the coupling component from the third signal.

It is contemplated that this method may first process the two or more signals with a feed forward matrix filter to reverse the effects of the channel and that matrix filter performs matrix multiplication with one or more complex values on the two or more signals. In the case where there is no coupling among the primary signals in the multichannel communication system, it is further contemplated that the feed forward matrix filter can be simplified to a diagonal matrix filter. In this case, each primary signal is filtered only by a feed forward single channel filter avoiding the complexity of multichannel feed forward filtering, before subsequent processing for alien coupling.

Other systems, methods, features and advantages of the invention will be or will become apparent to one with skill in the art upon examination of the following figures and detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a block diagram of an example environment of use of the method and apparatus described herein.

FIG. 2A illustrates a block diagram of an example embodiment of a point-to-point communication system.

FIG. 2B illustrates a block diagram of an example embodiment of a point-to-multipoint communication system.

FIG. 3 illustrates a block diagram of an example embodiment of a transmitter.

FIG. 4 illustrates a block diagram of an example embodiment of a receiver.

FIG. 5 illustrates a block diagram of a model of a channel with an input signal and an output signal.

FIG. 6 illustrates a block diagram of an example embodiment of the MIMO processing module as shown in FIG. 4.

FIG. 7 illustrates a block diagram of an alternative embodiment of the MIMO processing module as shown in FIG. 6.

FIG. 8 illustrates a block diagram of an alternative embodiment of the MIMO processing module as shown in FIG. 6.

FIG. 9 illustrates a block diagram of an alternative embodiment of the MIMO processing module as shown in FIG. 6.

FIG. 10 illustrates a block diagram of an alternative embodiment of the MIMO processing module as shown in FIG. 6.

FIG. 11 illustrates an example embodiment of a transmitter having pre-processing capabilities.

FIG. 12 illustrates a block diagram of an example embodiment of a receiver configured to perform multiple-input, multiple-output processing on an encoded signal.

FIG. 13 illustrates a block diagram of an example embodiment of a multiple-input, multiple-output processing system configured to process an encoded signal.

FIG. 14 illustrates an operational flow diagram of an example method of multiple-input, multiple-output processing and decoding of a block coded signal received over a multi-channel communication system.

FIG. 15 illustrates an operational flow diagram of an example method of channel indexing during block multiple-input, multiple-output processing and decoding.

FIGS. 16A and 16B illustrate an operational flow diagram of an example method of multiple-input, multiple-output processing on a convolutionally encoded signal.

FIG. 17A illustrates an example embodiment of a multi-channel communication system having a common mode noise cancellation system.

FIG. 17B illustrates an example embodiment of a multi-channel communication system having a common mode noise cancellation system configured for pair to pair signal processing.

FIG. 18 illustrates a block diagram of an example embodiment of a common mode signal isolation unit.

FIG. 19 illustrates an alternative embodiment of the common mode signal isolation unit.

FIG. 20 illustrates a block diagram of an alternative embodiment of a common mode signal isolation unit.

FIG. 21 illustrates an alternative embodiment of the configuration shown in FIG. 20.

DETAILED DESCRIPTION

Before discussing the particulars of the claimed method and apparatus, a discussion of example environments for use of the invention may aid the reader in their understanding. FIG. 1 illustrates an example environment of use of the present invention. FIG. 1 is provided for the purposes of understanding and hence the invention should not be limited to environments of use as that shown in FIG. 1. As shown a plurality of communication systems or stations is shown, each of which communicates over one or more channels. In particular, located at a first location 104, such as a central office or internet service provider, is a reference communication system 108. In addition, one or more additional communications systems 114, 118 may also be located at the first location 104. The term reference communication system 108 is defined to mean the communications system under design or from which crosstalk analysis occurs. It is contemplated that the communication systems 108, 114, 118 at the first location may communicate with one or more remote locations 134, 138, 142 respectively.

Shown in the example environment of FIG. 1, the reference communication system 108 communicates with the first remote communication system 134 over a multiple channel communication path 122, which may be referred to as the reference channel as it is associated with the reference communication system. Use of the multiple channel communication path 122 allows increased bandwidth over single channel systems. Similarly, the additional communication system 114 communicates with the second remote communication system 138 via a multiple channel communication path 122 while the additional communication system 118 communicates over with the third remote communication system 142 via a single channel communication path 130. The channel discussed herein may comprise any type of signal path such as but not limited to channel twisted pair metallic conductors, wireless, optical, coax, etc. An example of wireline multichannel system is a Gig-Ethernet transmission system over four copper pairs. Another example is a DSL multipair system. Further, an example of a wireless multichannel system may be a system with multiple transmit and receive antennas or a system that transmits over multiple frequency bands.

As can be appreciated, although the remote communication systems 134, 138, 142 may be located at diverse locations, the channels 122, 126, 130 may be in close proximity for at least a portion of the distance of the channel(s). Moreover, since the communication systems 108, 114, 118 are all located the first location 104, it is contemplated that the channels 122, 126, 130 will be in close proximity for at least the distance near the first location, such as for example in the case of twisted pair entering the central office via a common bundle of twisted pair copper cable.

Due to the proximity of the channels 122, 126, 130 it is anticipated the crosstalk will exist on the reference channel 122 due to coupling of the signals on channels 126, 130 onto the reference channel. Such crosstalk is shown in FIG. 1 as alien near end cross talk (NEXT) 150A, 150B and alien far end cross talk (FEXT) 154A, 154B. As is understood by one of ordinary skill in the art the term alien crosstalk signifies that the crosstalk is generated by channel(s) other than those in the one or more channels that comprise the reference channel(s). Although not shown, it is contemplated that the reference channel, being comprised of two or more individual channels or conductors, will also generate crosstalk, which is referred to herein as self crosstalk, due to the proximity of the two or more conductors that comprise the two or more channels 122. Those of ordinary skill in the art understand the nature of self crosstalk and the associated drawbacks and hence it is not described in detail herein.

In one example embodiment the reference communication system 108 and the first remote communication system 134 comprise communication systems configured to operate in accordance with a DSL standard utilizing two or more channels in an effort to maximize the data transmit rate utilizing presently existing twisted pair conductors. In this manner the benefits of presently installed cabling may be realized while also maximizing bandwidth between communication systems. In one embodiment the channel 122 comprises six to fourteen twisted pair conductors, although in other embodiments any number of conductors or conductor pairs may be utilized to gain the benefits of the method and apparatus described herein. In addition, communication standards other than DSL may be adopted for use with the method and apparatus described herein. Thus, the claims that follow should not be construed as being limited to a particular DSL standard or twisted pair conductors.

In one example environment of use, the method and apparatus disclosed herein is utilized in a multi-channel communication system based on a DSL communication standard. As such, a discrete multi-tone transmission (DMT) scheme is utilized to maximize channel bandwidth and overcome processing challenges created by ISI. In one embodiment the method and apparatus described herein operates on each frequency bin. In one embodiment this comprises 256 different tones and the processing described herein may operate on each tone. In other embodiments a different number of tones may be utilized. While it is contemplated that time domain filters may be utilized for processing in the time domain, in the embodiment described herein processing occurs in the frequency domain.

FIG. 2A and FIG. 2B illustrate two exemplary communication system configurations for use with the method and apparatus described herein. It is contemplated that the method and apparatus described herein may be applied to both point-to-point and point-to-multipoint communication systems and additional other communication system configurations as may be enabled by one or ordinary skill in the art.

FIG. 2A illustrates an example embodiment of a point-to-point communication system configuration. As shown a first communication device 204 communicates of a multi-channel communication path 208 with a second communication device 212. Through use of the multi-channel communication path and the processing as described herein, increased data transmit rates may be achieved, as compared to the prior art, while utilizing existing communication medium. It is contemplated that the multi-channel path 208 may comprises a wired, such as metallic conductor or optic path, or wireless or free space medium.

FIG. 2B illustrates an example embodiment of a point-to-multipoint communication system. As shown a first communication system 220 communicates with two or more remote devices 244A, 244B, 244C, 244D, 244E via the communication paths 224, 228, 232, 236, 240. In this example embodiment communication paths 224, 228 and 240 comprise single channel communication paths while paths 232, 236 comprise multi-channel communication paths. Examples of point-to-multipoint communication systems include, but are not limited to a wireless base station that communicates with multiple mobile transceivers. Another example comprises a DSL access multiplexer in a telephone central office communicating with multiple customer DSL modems in a star network using one pair per customer. In such a configuration, the disclosed invention can be practiced in a different manner in the upstream direction (remote devices to central system) and the downstream direction (central system to remote devices). In particular, in the upstream direction the disclosed invention can be practiced by the receiver of the central system and can operate on the received upstream signals. On the other hand, in the downstream direction, the invention can be practiced by the transmitter of the central system, and can operate on the signals prior to their transmission on the multichannel communication medium. To those skilled in the art, this is generally referred to as “transmitter pre-processing” of the communication signals. Of course, other configurations are possible that would likewise benefit from the teachings contained herein.

With regard to multi-channel communication path systems, multichannel communication systems have found application in situations where one can utilize multiple communication channels to convey information. Examples include wireless communication systems with multiple transmit and multiple receive antennas, gigabit Ethernet systems (using four copper pairs per link), and DSL multipair transmission systems, to name but a few. Through the use of multi-channel paths and the method and apparatus described herein, synergy exists in that the overall bandwidth or data rate possible with the multi-channel path and associated signal processing is greater than the sum of an equal number of single channel communication systems operating individually, such as in a multiplexed configuration. As a result, information is transmitted and processed, both prior to and after transmission, in a coordinated fashion across all channels to maximally utilize the available physical transmission medium. As a result of these benefits, the method and apparatus described herein exploits the multi-channel path environment.

Turning now to FIG. 3, a block diagram of an example embodiment of a transmitter is shown. Although it is contemplated that the principles described herein may be utilized with any transmission standard, modulation scheme, or encoding scheme, in this example embodiment a vectored DMT transmission system is adopted for use. The transmitter shown in FIG. 1 comprises a DMT transmission system in which a collection of all the signals to be transmitted from all the available channels are processed in sync, with synchronous clocks and frame aligned, through the DMT transmitter blocks as shown.

As stated above, the processing described herein maybe utilized with any communication standard or scheme. Mitigation of intersymbol interference in a single channel (as well as multichannel) systems may be accomplished by appropriate transmitter and receiver filtering (channel equalization). With regard to a DMT system, DMT modulation divides the available bandwidth in multiple parallel frequency channels (tones) and transmits information bits on each tone according to each tone's information capacity. DMT has the benefit of high performance and low complexity as compared to other prior art methods. For example, use of DMT may mitigate numerous intersymbol interference issues.

As shown an input 304 from a network device, computers, switch, or any communication or source device is received at a coding and modulation module 308 for processing in accordance with one or more coding and modulation schemes. In one embodiment the coding and modulation comprises such as may occur with DMT type coding and modulation. U.S. Pat. No. 5,673,290, which is incorporated by reference, provides general information and background regarding DMT type communication transmitters and processing. In one embodiment the output of the coding and modulation module 308 comprises a multi-channel path carrying 256 values which are represented as a magnitude and phase and which at this stage in the processing may be in the frequency domain. As DMT type coding and modulation is generally understood by one of ordinary skill in the art, it will not be described in detail herein. It should be noted that the input 304 to the coding and modulation module 308 may comprise a multi-conductor or multi-channel module and the number of channels associated therewith may be dependant upon the number of channels utilized for communication between remote locations and the particular design choices for of the system designers. The input 304 may also comprise a high speed serial input.

The output of the coding and modulation module 308 feeds into the IFFT module 312 (inverse Fast Fourier Transform). The IFFT module 312 processes the incoming data by performing an inverse Fast Fourier Transform on the incoming data. The transformed data is in turn provided to a prefix and windowing module 316 that is configured to append needed leading and trailing samples of a DMT symbol and other processed data. In one embodiment this comprises time domain multiplication of each real sample by a real amplitude that is the window height. This allows for a smooth interconnection of the samples, which in turn may decreases decay time in the frequency domain. The output of the prefix and windowing module 316 is eventually received at one or more digital to analog converters 320 that transform the data into one or more analog signals, which are to be transmitted over one or more channels. It is contemplated that other or additional processing modules or systems may be included within the transmitter but which are not shown. It is also contemplated that the output channel 324 may comprise a plurality of channels, paths or conductors. As suggested above the output 324 may comprise two or more twisted pair conductors.

FIG. 4 illustrates a block diagram of an example embodiment of a receiver. The configuration of FIG. 4 is provided for purposes of discussion and not limitation as it is useful in understanding how the method and apparatus of the present invention relates to the other functional aspects of a receiver. As shown, an input 404 is configured to receive an input signal from a transmission medium or one or more intermediate devices that may reside between the transmission medium and the input, such as a transformer or other device. The transmission medium may comprise two or more channels. As it is contemplated that the receiver of FIG. 4 be utilized in a multi-channel environment, the input 404 may comprise a parallel line comprising numerous conductors or channels. Similarly, the devices shown in FIG. 4 and throughout this document may consist of one or more such devices as may be necessary to meet the processing requirements described herein. Thus, in the case of FIG. 4, if the channel 404 were to comprise twelve channels, then the ADC block 408 may comprise twelve individual ADC devices.

The input 404 provides one or more received signals to one or more analog to digital converters (ADC) 408 that convert the one or more incoming signals to a digital format for subsequent processing. Thereafter one or more a time domain equalizers (TEQ) 412 receive and process the one or more signals to reduce or negate the effects of transmission of the signal through the one or more channels. Any type equalization may occur.

After equalization, one or more prefix and windowing modules 416 perform an optional windowing and/or prefixing operation on the one or more signals as would be understood by one of ordinary skill in the art. After the optional windowing operation, one or more FFT modules 420 perform a Fourier Transform on the one or more signals. Any type Fourier Transform may occur including a Fast Fourier Transform operation. The FFT module 420 output(s) are provided to a multiple input, multiple output (MIMO) processing module 424 that is configured to receive the multiple inputs of the multi-channel input to the receiver and perform processing as is described below in greater detail. In the embodiment described therein, MIMO processing module perform processing on the two or more signals to account for the affects of the channel and coupling that may have occurred during transmission. MIMO processing is described below in more detail. The processing that occurs prior to the MIMO processing module may be referred to herein as receiver pre-processing or simply pre-processing.

The output of the MIMO processing module 424 is provided to a de-modulation and decoding module 428 that is configured to de-modulate and decode the one or more received outputs from the MIMO processing module. In one embodiment the demodulation and decoding module 428 reverses the modulation and encoding performed by the transmitter if such was performed. In one embodiment this comprises QAM type modulation and encoding. It is also contemplated that error correcting coding type modulation may occur. In one embodiment, Trellis Coded Modulation may be used. In another embodiment, turbo coding or other coding schemes may be employed.

Thereafter, the one or more signal may be provided to one or more subsequent down stream systems for additional processing or for use by an end user or other system. In a multi-channel communication system each of the multiple channels in the communication system generates cross talk and, in addition, adjacent or nearby channels that are not part of the communication system, but instead associated with other communication systems, will also contribute crosstalk. It can be appreciated that recovery of the original signal can be complex and hence systems of the prior art were unable to effectively meet this challenge. Processing by the MIMO processing block 424 can be configured to overcome this drawback of the prior art.

In one embodiment the output of the FFT module 420 comprises a total of 256 tones on each of fourteen channels or lines for each block, symbol, or register transfer. It is contemplated that the MIMO block 424 may jointly process all of the fourteen channels for each of the 256 tones. Thus processing may occur on one frequency at a time (fourteen channels) as the system cycles through the 256 frequencies, which represent the data. In various different embodiments a different number of channels may be used to provide the requested or desired bandwidth, i.e. data exchange capacity. Although any number of channels may be used, the range of six to fourteen channels may be selected in many applications.

Throughout the following discussion, details regarding the method and apparatus of the invention are provided in a non-mathematical format and, when appropriate, in a mathematical terms with the use of equations. While it is contemplated that there exist numerous way to express the teachings contained herein, use of both a textual description and mathematical nomenclature, at least to some extent, will provide the best and enabling disclosure.

FIG. 5 illustrates an example embodiment of a block diagram based on the mathematical model for the received signals at the output of the FFT module 420 or the input to the MIMO processing module 424. As shown in FIG. 5, two or more input signal(s) s(n) 504 are shown as being acted upon by the channel, which may represented as an M×M channel matrix 508 to account for the numerous interactions between self channel coupling. The addition of additive interference or noise v(n) 512 is also shown to account for alien crosstalk. The resulting output y(n) 516 represents the two or more output signals that have passed through and been acted upon by the channel and signals on adjacent channels, i.e. both alien and self NEXT and FEXT. More simply, the signal y(n) 516 to be provided to the MIMO processing module 424 of FIG. 4 is generated by the transmission of the original signal through the channel where the signal on each of the two or more channels is acted upon by self crosstalk, represented by the channel matrix 508, and noise and alien crosstalk, represented by v(n) 512. It is desired in the MIMO processing module to process the multiple inputs to the MIMO processing module to negate or account for the channel matrix's effect on the channel and the noise v(n) so that the original signal may be recovered and performance requirements maintained.

This can be shown mathematically by the following equation: y(ω_(i))=H(ω_(i))s(ω_(i))+v(ω_(i)) where H(ω_(i)) represents the M×M FEXT channel matrix (assuming M parallel channels), s(ω_(i))=[s₁(ω_(i)), . . . , s_(M)(ω_(i))]^(T) is the transmitted vector and v(ω_(i)) is the additive interference plus noise. Since v(ω_(i)) is expected to be NEXT dominated, it is not assumed to be spatially white, but possesses a spatial correlation matrix E{v(ω_(i))v(ω_(i))^(H)}=R_(v).

To reduce the complexity of the notation, in the text that follows, the explicit reference to frequency in the signal equations is dropped. This description illustrates that the impairments across lines are limited to within a particular bin, and therefore suggests that the MIMO processing block can operate on a bin by bin manner. A bin, as way of background, comprises a finite range of frequencies that is a subset of the entire available bandwidth. The available bandwidth may be divided into numerous bins and data transmitted within one or more of the bins to thereby segregate data transmission into the various and appropriate frequency bins. Thus, within the MIMO processing module 424 shown in FIG. 4, the crosstalk components that have coupled onto each channel may be accounted for so that the originally transmitted signals may be recovered.

With regard to vector notation, the example equations: r ₁ =h ₁₁ S ₁ +h ₁₂ S ₂ r ₂ =h ₂₁ S ₁ +h ₂₂ S ₂ may also be written as: $\begin{bmatrix} r_{1} \\ r_{2} \end{bmatrix} = {\begin{bmatrix} {h_{11}h_{12}} \\ {h_{21}h_{22}} \end{bmatrix}\begin{bmatrix} S_{1} \\ S_{2} \end{bmatrix}}$ which in turn may be simplified and represented in vector notation as: r=HS

FIG. 6 illustrates a block diagram of an example embodiment of the MIMO processing module as shown in FIG. 4. As shown, two or more paths provide signals or inputs y₁, . . . , y_(M-1), y_(M) to an M×M sized matrix F 608 in the MIMO processing module. In one embodiment the inputs signals comprise fourteen values for each of a number of different frequencies in the available bandwidth. In one embodiment the fourteen inputs cycle through 256 different frequencies. In one embodiment the matrix comprises a feed-forward type matrix. The output of the matrix F 608 feeds into a succession of filters, shown to the right of the matrix F. In one embodiment the filter F 608 may be considered a feed forward type structure while the filter structure to the right of filter F may be considered a feedback or decision directed type structure and this descriptive notation may be used herein as an identifier during the description. The matrix filters may comprise a bank of scalar filters.

In one embodiment the functionality of the matrix F is to mitigate the effects of the self FEXT and any phase or attenuation caused by the channel itself. This may occur by forming a filter matrix which is configured to diagonalize the channel. In one embodiment the matrix filter F 608 in combination with the channel has a transfer function of unity or one. Thus, the matrix F 608 may be configured to invert the self FEXT channel matrix and the affects of the channel. In one embodiment the matrix F 608 may comprise a feed forward processing design. In the embodiment shown in FIG. 6, the matrix F 608 comprises an M×M matrix where M represents the number of lines or channels in the multi-channel communication system.

The matrix filter F 608 may comprise one or more multiplier operations to modify the magnitude and phase of the received signal as desired. The matrix filter F 608 may be configured in software, such as in a DPS or other processor, in hardware, such as with a number of registers, multipliers and memory units, or a combination of both. The claims that follow should not be limited to the particular implementation, but should be interpreted to cover all the various implementations of the method and apparatus disclosed herein.

After processing by the matrix filter, processing by the decision directed portion of the system occurs. In the embodiment shown in FIG. 6, a channel M is output from the matrix 608 and provided to a slicer 620 and junction 616. The term junction is defined to mean a summing junction, adder, subtractor, some combination thereof, or any other device configured to combine two or more signals. The slicer 620 and summing junction 616 generate a signal that is provided on an output M 624, that is in turn also provided to a filter 628. In one embodiment the signal on path 624 comprises the noise or error term between the output of the slicer 620 and the signal on path 612. In this embodiment, the filter 628 is a scalar multiplier configured to potentially modify the phase and magnitude of the signal e_(M) 624. In one embodiment the filter includes a complex value for the tap multiplier. The function of the filter 628 is to process the portion of the noise isolated on channel M so that it may be subtracted from the subsequent channel. In this manner the system cancels unwanted noise based on knowledge of the noise on already processed channels. The processing cascades through the channels as shown and may be expanded to any number of channels.

In one embodiment, the error term is isolated by re-encoding the decoded data to create re-encoded symbols. These re-encoded symbols are then subtracted from the encoded symbols received over the channel to isolate the error terms. By re-encoding the decoded data for purposes of generating an error term, the data is placed in the same format, namely encoded symbol format. This error term is then subtracted processed or filtered as shown, to create a cancellation signal for use by one or more subsequent channels.

The output from the filter 628 is provided to a junction 632 as is the matrix output on the second and subsequent channel on path 636. The signal on second matrix output 636 is also, in this embodiment, provided to a junction 640. The junction 632 combines the received signals and provides the result to a slicer 644. In one embodiment the output of the filter 628 is subtracted, by the junction 632, from the signal on output 636.

The slicer 644 is configured to perform decision processing on a received signal(s) or value(s) and based on decision analysis, output one or more of a discrete number of outputs. The slicer may comprise or be referred to as a decision device. The output of the slicer 644 is provided to the junction 640. The junction 640 subtracts the slicer output from the signal on path 636 to yield the noise on channel Y_(M-1). The output of the junction 640 is provided to a second filter 648 on path 652. The second filter 648, also receives as an input the output signal on output 624, and processes these signal and provides its output to a junction 656. Thus in this embodiment the filter 648 processes the error terms or noises on both paths 636 and 612 that have been isolated by the processing.

The junction 565, which receives the filter output and the signal on the first channel output 660, generates a resulting signal that is provided to a first channel slicer 664. In one embodiment the filter 648 comprises a multi-tap filter configured to have a tap corresponding to each input. In one embodiment each filters tap is associated with a multiplier value, such as a scalar or complex number, selected to isolate coupling from each prior channel that has coupled into the channel of interest. In this manner a filter output signal is generated that cancels the noise that couples from other alien channels. In one embodiment the filters 628, 648, and other subsequent filters in a multi-channel system are configured to account for alien FEXT and alien NEXT.

In one embodiment the filters 628, 648 comprises one or more multipliers and one or more registers. In an alternative embodiment the filters 628, 648 comprise mathematical operations implemented by appropriate configuration of FPGA or DSP devices. These filters may be embodied in hardware, software, or a combination of both.

The output signals from the MIMO processing block 424 (FIG. 4) comprise the signals that are isolated as the outputs 670, 672, 674 of the slicers 620, 644, 664. Thus it can be seen that the isolated noise on each line is feedback to the other channels in a cascade manner as shown while the output from the filter structure actually comprises the slicer outputs 670, 672, 674. This provides benefits over the prior art as is described herein.

Although only three channels are expressly shown in FIG. 6, it is contemplated that M channels would be processed in this manner, where M is any whole number. This pattern of cascading inputs and outputs would continue in the manner shown. It is contemplated that the number of taps on each subsequent filter in subsequent channels, working from the bottom of FIG. 6 to the top of FIG. 6, would increase to a total value of M-1 taps. In this embodiment, the detection and removal of the useful signal is a sequential process that starts (in this embodiment) from the last channel M and proceeds upwards. Once more residual noise terms become available, they are used (though progressively bigger filters) to clean up the noise in the channel above them. This operation is described in vector equation form below ŝ=F ^(H) y−B ^(H) e   EQ. 1 where in one embodiment the matrix B^(H) is an upper triangular matrix with zeroes on the main diagonal. Although only M number of channels are shown, it is contemplated that the structures shown in FIG. 6 may be applied to any number of channels. Stated another way, the processing of the feedback filters 628, 648 operates to whiten the noise to thereby remove any correlation between the noise on the M number of channels.

As an advantage to this embodiment, it operates on the noise terms that are output by the junctions, such as junction 640, 616. This is in contrast to certain prior art systems that may operate on the desired or sliced signal. Prior art systems suffer from the drawback of more complex processing and more complex filters. As will be described herein, the feedforward matrix filter employed in the current invention can be simplified to a diagonal one. This simplification is not possible for certain prior art systems. A further advantage resulting from processing the noise or error terms is that the system is well suited for mitigating alien NEXT and FEXT crosstalk. Certain prior art systems only focus on mitigating self NEXT and FEXT crosstalk. For example, U.S. patent application Publication US 2003/0086362 A1 describes a system for reducing NEXT and FEXT. The system described in US 2003/0086362 A1 does not however address alien crosstalk issues and hence does not provide the desired performance in environments that experience alien crosstalk. Because of this difference, such prior art systems are only suitable for situations where no legacy transceivers (and alien crosstalk) are present. The disclosed invention makes multichannel transceiver systems suitable for environments where legacy equipment is already present in the network or where alien interference is present.

Turning now to FIG. 7, an alternative embodiment of the MIMO processing module is shown. As compared to FIG. 6, numerous similarities exist and hence identical elements, as compared to those of FIG. 6, are identified with identical reference numerals. Similarly, to avoid repetition, only the aspects of FIG. 7 that differ from those described in FIG. 6 are discussed in conjunction with FIG. 7. Although not expressly show, it should be noted that the output of the MIMO processing block comprises the slicer outputs.

In contrast to FIG. 6, the input to the junction 640 comprises the output from the slicer 644 and the output of junction 632. In this embodiment both inputs to the junction have realized the benefit of the processing performed by the filter 628 and the processing on the signal on the prior channel, such as in this example embodiment channel 612. Hence, in the embodiment of FIG. 6, the feedback filters operate on the alien FEXT and alien NEXT that exists on each channel after the linear processing with the feed-forward filter F. In the embodiment of FIG. 7, as with the embodiment in FIG. 6, the feedback filters operate in a sequential manner on the noise or coupling that exists on each channel after it has been cleaned (or whitened) by the other available noise terms on channels below it. In this manner to processing cascades through the channels. As a result, it is contemplated that in this embodiment the top channel, i.e. channel y₁ may have the highest data transmit rate.

In equation terms, this operation is described by the following set of equations: ŝ=F ^(H) y−ê ê=B^(H)ε ε=e−ê wherein ŝ represents the slicer inputs. Similarly to FIG. 6, ŝ is formed by the feedforward term F^(H)y and a feedback term. Also, similarly to FIG. 6, the feedback matrix B^(H) is upper triangular with zeros on the diagonal. The difference is that the noise cancellation signal ê=B^(H)ε is not a filtered version of the noise signal on subsequent lines. It is rather a filtered version of the whitened (or cleaned) noise signal on subsequent lines.

The configuration shown in FIG. 7 has the advantage of utilizing a signal that has gained the benefits of cancellation from the prior channel when isolating the noise term. For example, in FIG. 7 the signal on channel y_(M-1) that is provided to the junction 640 comprises the output from junction 632, and this signal has had the benefit of having the noise cancellation signal from filter 628 subtracted from the signal on path 636. Hence, the noise term isolated by junction 640 may have a higher degree of accuracy as it gains the benefit of the filtering from the previous channel, in the example y_(M).

FIG. 8 illustrates a block diagram of an example embodiment of the MIMO processing module with the matrix F simplified to a diagonal matrix. Again, it is contemplated that this processing may be expanded to any number of channels. In FIG. 8, the processing may be expanded to M number of channels. In the example embodiment the individual matrixes f₁, . . . , f_(M-1), f_(M) represent complex scalars that may operate on the phase and magnitude of the incoming signals y₁, . . . , y_(M-1), y_(M). This embodiment enjoys the advantage of reduced implementation complexity and can maintain similar performance for the situations where the FEXT impairments can be ignored or tolerated. For example, for certain operating environments the transmitter and the remote receiver may be several thousands of feet apart and hence the FEXT induced impairments are attenuated to negligible levels due to the distance between the transmitter and the receiver. The scalar values are thus selected to account for the effect on the signal from the channel, which may distort the phase and magnitude of the signal.

As shown, diagonalized matrix f₁ 804, . . . f_(M-1) 808 and f_(M) 812 are shown as receiving the inputs from the M number of channels. After processing by the filters f₁ 804, . . . f_(M-1) 808 and f_(M) 812, the resulting signals are provided to the decision directed structure as shown, which has been described above in conjunction with FIG. 6. The term diagonal matrix or diagonalized matrix is generally understood by one of ordinary skill in the art. The benefits gained by a diagonalized matrix include, but are not limited to, reduction in complexity, faster processing capability, and a potential lower cost implementation.

FIG. 9 illustrates a block diagram of an example embodiment of the MIMO processing module shown in FIG. 7, with the matrix simplified to a diagonal matrix as shown in FIG. 8. This embodiment enjoys the advantage of the embodiment shown in FIG. 7 such as for example, a reduction in the implementation complexity as compared to the embodiment of FIG. 8, yet can maintain similar performance for the situations where the FEXT impairments are substantially smaller than the NEXT impairments or in which FEXT impairments may be ignored. As shown, diagonal matrix f₁ 904, . . . f_(M-1) 908 and f_(M) 912 are shown as receiving the inputs and providing outputs to the structure as shown, which has been described above in conjunction with FIGS. 7 and 8.

It is contemplated that with regard to the post Matrix F or scalar f processing of FIGS. 6 and 8 may be referred to as a non-compensated error processing configuration since the signals feed forward to the junctions are not compensated by the processing from the previous channel. In contrast, the embodiments shown in FIGS. 7 and 9 may be referred to as compensated error processing because the signals feed forward to the junctions are the signals that have had the error signal from the previous channel subtracted out or removed. Compensated error processing has the advantage of subsequent filter processing occurring on signals that have gained the benefit of noise or coupling cancellation.

It is further contemplated that the matrix F may comprise other than a full M×M matrix, or a scalar multiplier f , if it is determined that a only certain coupling components must be canceled. Thus, zero values may fill a portion of a matrix F to simplify operation but there may be non-zero values within the matrix, hence the matrix is not a full diagonal matrix. This may be referred to as a partial diagonal matrix or a semi-diagonalized matrix.

FIG. 10 illustrates a block diagram of an alternative embodiment of the MIMO processing module. The embodiment of FIG. 10 is generally similar to the embodiment shown in FIG. 6 but the order of the progress through the M channels is reversed. In addition, in this embodiment the paths 1050, 1054 carry a noise or coupling signal that is provided to a filter 1010, 1014, 1018 and each filter is individually tailored to processes the received signal to generate a cancellation signal. In particular, the signal on path 1050 is provided to the filter 1010 which comprises a filter configured to process the noise on channel y₁ to generate a cancellation signal tailored to cancel the coupling from channel y₁ onto channel y_(M-1). The filter 1014 processes the signal being provided on path 1054 to generate a cancellation signal for channel y_(M) while the filter 1018 processes the signal from path 1050, i.e. the channel y₁ noise signal, to create a cancellation signal for channel y_(M). In this embodiment each filter 1010, 1014, 1018 is adapted to modify the cascaded signal as necessary to achieve the processing as described herein. Junctions 1068, 1064 operate as described above to combine or subtract the various signals as shown.

The embodiment shown in FIG. 10 has the advantage of reducing the complexity of filters 1010, 1014, 1018, each of which may be tailored to the particular noise cancellation requirements of a particular channel. In one embodiment the filters comprise single tap filters configured to multiply an input by a scalar or complex number. In one embodiment these filters are FIR type filters and may be embodied in hardware, software, or a combination of both. In one embodiment the filters are configured to reduce correlated noise between channels. Stated another way, the filters may exploit the predictability in noise between lines. The outputs 1058, 1080, 1082 of the slicers comprises the outputs of the MIMO processing system and hence it is the noise terms that are provided to the filters 1010, 1014, 1018.

In operation and with regard to the embodiments shown in FIG. 6-10, the filter matrix F may be configured as a feed-forward device such that matrix values F are arrived at which invert the channel matrix. This may result in a matrix F that accounts for the effects of the self NEXT coupling and the phase and magnitude distortion of the channel on the two or more signal passing through the two or more channels.

As can be shown mathematically, for every matrix, there exists another inverse matrix, that when multiplied using matrix multiplication, results in a diagonalized unitary matrix, that is a matrix having all zero value but for one values in the diagonal of the matrix. Conceptually, the zero values in the matrix locations other than the matrix diagonal represent the cancellation of coupling onto the received signals and the one values in matrix diagonal represent a restoration of the transmitted signal at the receiver through combination of the channel and the filter matrix yielding a unity value.

In one embodiment the least mean square algorithm may be used to adapt or train the matrix values. In other embodiments other forms of training or adaptation may occur.

It is noted that the output of the matrix F may contain unwanted noise in the form of alien FEXT and alien NEXT. The processing that occurs after the matrix filter F includes generation of an error term by the one or more junctions. It is this error term that is processed by one or more filters to generate one or more cancellation signals, which are in turn fed back into the proceeding channels. For example, and in reference to FIG. 10, the error term on output 1050 is processed by the filter 1010 and combined, in junction 1068 with the signal from the matrix filter F on path 1070 on channel y_(M-1). This process repeats through-out the cascade of the various channels 1 through M so that the signals below or above the line of interest are processed to generate a cancellation signal for the line of interest.

To account for and deal with the noise, the feedback filter components, shown as the processing elements subsequent to the matrix F, are configured to remove the unwanted alien type noise. The two or more slicers operate to estimate the transmitted data values which are output from the MIMO processing block. In this manner the transmitted signal may be recovered.

The junctions isolate the noise by subtracting the slicer output from the matrix filter (F or f) output. This noise signal is processed by the filters b to generate a noise cancellation signal, which is in turn combined with or subtracted from subsequent channels in the manner shown in the figures to consecutively remove the unwanted error terms from the signal. As a result, the last channel processed may operate at the highest data transmit rate. In contrast, the first channel, which does not enjoy the benefits of such processing may operate at a lower rate. In one embodiment it is assumed there is no correlation between the noise on each channel. In one embodiment correlation exists in the noise between channels.

In one example environment of use, the method and apparatus disclosed herein is utilized in a multi-channel communication system based on a DSL communication standard. In one such embodiment a discrete multi-tone transmission (DMT) scheme is utilized to allocate channel bandwidth and overcome processing challenges created by ISI (intersymbol interference). It is contemplated that the DMT type processing may be utilized in the multi-channel communication system to increase transmit rates and reduce computational complexity. In one embodiment DMT is utilized with a fourteen channel communication system configured to utilize the processing described herein. In other embodiments mapping schemes other than DMT may be utilized. In other embodiments any number of channels may be utilized. It is contemplated that through the use of multiple channels in conjunction with the processing as described herein overall transmission speeds may be greatly increased over systems that simply multiplex two or more channels to increase the effective bit transmit rate. Another embodiment utilizes fourteen channels although any number of channels may be used.

In one embodiment the method and apparatus described herein operates on each frequency bin or on each of 256 different tones. Thus, the processing and structure discussed herein may be associated with a particular channel and each channel may process the data allocated to each tone. Thus, in one embodiment 256 tones or frequency bins are utilized such that data may be transmitted in each of the frequency bins. The system described here would then operate on each frequency bin to recover the signal and hence eventually the transmitted data. In other embodiments a different number of tones may be utilized. While it is contemplated that time domain filters may be utilized for processing in the time domain, in the embodiment described herein processing may occur in the frequency domain.

FIG. 11 illustrates an example embodiment of a transmitter having pre-processing capabilities. As FIG. 11 shares numerous similarities with FIG. 3, only the aspects that differ from FIG. 3 are discussed herein. As described above, it is contemplated that pre-transmit processing may occur on the two or more signals prior to transmission to pre-cancel the effects of the channel or self FEXT, or both, that will occur during transmission. As such, a transmitter pre-processing module 310 is provided to perform processing on the output of the coding and modulation module 308. The output of the transmitter pre-processing module 310 feeds into or is eventually processed by the IFFT module 312.

In one embodiment the transmitter pre-processing module 310 comprises one or more matrix filters, such as for example the matrix filter F shown as element 608 in FIG. 6. When utilized in the pre-processing module 310 the matrix filter F may be configured as a diagonal matrix or a non-diagonal matrix. In other embodiments, the transmitter pre-processing module may comprise a different type of processing or filtering structure. Since the matrix filter F is described above in conjunction with the description of FIGS. 6, 7, 8, and 9, it is not described again.

In operation, the output of the coding and modulation module 308, which comprises two or more signals, is received and processed by the pre-processing module 310 to modify or change the two or more signals in a manner that, after passage through the channel results in the two or more signals provided from the coding and modulation module 308, or two or more signals that are similar thereto. In one embodiment the pre-processing module may be considered as pre-coding or pre-transmit filtering to filter the signal in anticipation of the effect, of the channel, on the signal. After processing by the transmit pre-processing module the two or more signals are provided to the IFFT module 312.

It is contemplated that training, adaptation, or both may occur on the coefficients, tap values, or matrix values to tailor the performance of any of the filters described herein to the particular needs of the system and to maintain performance. In one embodiment the adaptation occurs in real time or periodically to maintain system performance and thereby adjust to changes in temperature, coupling, or other factors. In the case of the pre-processing module 310 (FIG. 11), the coefficients, tap values, or matrix values may be calculated by the receiver during a training or adaptation routine and transmitted back to the transmitter.

In one embodiment it is contemplated that the method and apparatus described above may also be utilized in a communication system configured to communicate an encoded signal. As is understood in the art, coding improves data transmission by providing means to detect and correct errors that originate during transmission or as part of the reception processing the signal. By encoding data prior to transmission, decode processing may be performed on the received signal to detect and correct such errors by exploiting the information redundancy. As a result of the increased error correction capability, data may be transmitted using more complex modulation schemes or simply at a higher rate, thereby desirably increasing the effecting data transmission rate. Examples of coded data schemes include trellis coded modulation, convolutional and block codes, concatenated codes and iterative or turbo codes, or any other type code.

For purposes of this discussion the various types of codes are sub-divided into block codes, convolutional codes, and hybrid codes. Each of these code categories are set forth and separately discussed below. Before moving to an individual discussion of the processing associated with each code category, a general discussion is provided including several block diagrams of example embodiments of communication systems configured to perform joint multiple-input, multiple-output (MIMO) processing and decode processing.

In generally, most all types of encoding share the common characteristic that to generate decoded data at a particular time requires a knowledge of future received symbols. As used herein, the term symbols is defined to mean information in an encoded state that is received over the channel prior to decoding. The term symbol may refer to information encoded based on block coding, convolutional coding, hybrid coding, or any other type of encoding. The term data is defined to mean information resulting from the decoding process.

Since it is necessary to have knowledge about subsequently received symbols to make a final data decision regarding a current symbol, coded systems are often referred to a memory based systems since it is often necessary to store symbols or decoded data in memory until subsequent symbols are received, decoded, and sufficient decision are made to formally decide on a decoder output. For example, when receiving a string of symbol values S_(t1), S_(t2), S_(t3), S_(t3), S_(t4) the symbol S_(t4) is received later in time as compared to a symbol S_(t1), which is received first. In an encoded system, it may be necessary to receive symbol S_(t4) before the data associated with S_(t1) maybe completely decoded and output. The amount of delay, which may be represented in time, clock cycles, or symbols, is referred to as the decoding delay k.

As encoding and encoding of data is generally understood by one of ordinary skill in the art, this discussion does not focus on coding itself, but instead on the implementation of decoding in a MIMO system. In reference to FIG. 3, it is contemplated that the encoding process, such as any of the types of encoding identified herein or any other type of encoding, may be performed within the coding and modulation module 308 of the transmitter.

FIG. 12 illustrates a block diagram of an example embodiment of a receiver configured to perform MIMO type processing on an encoded signal. As elements 404, 408, 412, 416, 416, and 420 have been described above, these elements are not described again. As with prior embodiments it is contemplated that the interconnections, such as input 404, between processing elements comprise two or more channels, where each channel may comprise one or more conductors or signal paths. As shown, the output of the FFT module 420 feeds into the MIMO processing module 1204. The MIMO processing module 1204 provides an input (noise compensated data) to the decoding module 1208 as shown, while the decoding module 1208 is configured to provide the output from the receiver system, shown in FIG. 12, to subsequent hardware or systems. Further, the decoding module 1208 provides decoded symbols back to the MIMO module to assist in noise compensating for subsequent received data. Therefore, the communication between 1208 and 1204 may be bi-directional. In summary, the MIMO processing module 1204, as is described above in greater detail, operates in a sequential manner to process the data through the channel thereby reducing noise or other unwanted interference on subsequently processed channels. Concurrently, the decoding module 1208 performs decode processing on the received symbols to generate data, which has been encoded by the encoding scheme into symbols. As used herein, the term ‘subsequent channels’ is defined to mean channels not yet processed, such as in the direction of channel 1 in this example embodiment. In contrast the term ‘previous channels’ is defined to mean channels that have already undergone processing such as channels in the direction of channel M in this example embodiment.

As can be appreciated, the combination of MIMO processing with an encoded communication system created complexities due to the very nature of MIMO processing, which requires processing in a sequential manner to sequentially reduce noise in subsequent channels, and decoding processing, which calculates multiple possible data values based on received symbol and, over time, may backtrack to as to which of the possible data values to output. FIG. 13 aids in understanding the inter-relation between MIMO processing and decoding.

FIG. 13 illustrates a block diagram of an example embodiment of a MIMO processing system configured to operate in conjunction with signal decoding. Various methods of operation are possible with the system shown in FIG. 13. In particular, block decoding operation, convolutional decoding operation, and hybrid decoding operation are discussed separately below, it is contemplated that all of the various encoding methods may be decoded with the system shown in FIG. 13 or a similar system having similar components in a different arrangement. FIG. 13 shares numerous similarities with FIG. 6 and as described above and as a result the discussion of FIG. 13 should be considered to supplement the previous discussions provided above. FIG. 13 provides a more detailed view of the MIMO processing module 1204 and the decoding module 1208 as shown in FIG. 12.

Inputs carrying signals y₁, . . . Y_(M-2), y_(M-1), y_(M) are considered the channel inputs of a multi-channel communication system processing apparatus. These signals are provided to a filter matrix F 1308. The filter matrix 1308 is described above in detail and hence not described again. The channel M output 1312 from the filter 1308 comprises signal z_(M)(n) which is provided to a delay 1314 and to a decoder 1320. The decoder 1320 performs decoding on the signal z_(M)(n) that is dependant on the particular type of encoding implemented at the receiver. As understood by one of ordinary skill in the art, the decoder processing varies from code to code. The delay 1314 comprises any type delay. In general the output of matrix F is a sequence of vectors which may be indexed by time, or frequency or some other means. In this embodiment the delay 1314, and other delays shown within the system of FIG. 13 are utilized to insure proper alignment of the signal sequences when combined or subtracted in the junctions. The decoding processing may introduce a delay into the signal. In this embodiment the delay 1314 introduces an amount of delay k, where k is the decoding delay, to create the signal Z_(M)(n-k). Consequently the junction 1316 subtracts the delay's output signal from the decoder output to generate an error signal e_(M)(n-k), which may also be written as in abbreviated form as e_(M). This is the error signal on channel M and is arrived at after decoding the signal on channel M. This process and the use of the error signal in MIMO processing is described above in conjunction with FIG. 6.

The output of the junction 1316 is received by a filter 1328 and a delay 1330. The filter 1328 is configured, as is describe above in more detail in conjunction with FIG. 6, to modify the error term to generate a signal that cancels unwanted signal components on the subsequent channel, in this embodiment channel M-1. As such, the filter output is provided to junction 1332, which also receives a delayed version of the signal z_(M-1)(n), which is delayed by delay 1338 by an amount k to create a signal z_(M-1)(n-k). The delay output signal z_(M-1)(n-k) is also provided to a delay 1342, which creates a signal z_(M-1)(n-2k). As can be appreciated, each decoding procedure may introduce an amount of delay k, thereby requiring appropriate delay for signals not undergoing decoding.

In this example embodiment, the junction 1332 subtracts the cancellation signal generated by filter 1328 from the delayed channel M-1 signal to create signal having all or a portion of the unwanted noise removed. This resulting signal is provided to a decoder 1344. The output from the decoder 1344 comprises the desired data, which is provided on an output 1372 and to a junction 1340. The junction 1340 subtracts the output from the delay 1342 from the decoded data to generate an error term e_(M-1)(n-2k), which is also identified as e_(M-1). Note that the error term is delayed by an amount 2k for this channel. The decoded data may be stored in memory 1390. The error term(s) may be stored in memory 1390.

The error term e_(M-1) is provided to a filter 1348, which also receives as an input the output of delay 1330 as shown. As can be seen, the filters 1328, 1348 receive error terms from the previous channels to create a cancellation signal for the subsequent signal. The delay 1330 is provided to time or phase align the error terms from channel M. The output of the filter 1348 comprises a signal tailored to cancel noise on channel M-2, based on the noise terms isolated on channel M and M-1, which is to say the previous channels.

As can be seen this process of noise term isolation and subtraction continues in junction 1356. The channel M-2 signal z_(M-2)(n) on line 1360 is delayed by an amount 2k in delay 1362 to create a signal z_(M-2)(n-k). The junction 1356 removes (or combines) the filter output signal from the delay output signal z_(M-2)(n-k) to create a signal having unwanted noise, isolated from channel M and channel M-1, removed. This resulting signal is provided to the decoder 1364 wherein the channel M-2 data is isolated. After decoding, the resulting channel M-2 data is subtracted from the output of the delay 1362 to isolate an error terms e_(M-2).

This process continues in cascading manner through the subsequent channels. Delays 1362, 1342, 1338, 1330, 1314 are introduced as shown and as necessary to maintain alignment between signals and processing across channels. For example, it is necessary to delay a non-decoded signal before it is added to or subtracted from a decoded signal to account for the delay k introduced by the decoding process.

As shown, the matrix filter output 1374 provides signal z₁(n) to junction 1380 after being delayed by delay 1386. In one embodiment the delay 1386 introduces a delay comprising Mk. The junction 1380 also receives an input from a filter 1384. Filter 1384 receives the error terms from all the other channels. To aid in understanding, all the interconnection lines have not been shown and it is assumed that proper delays are introduced to account for the processing by the various decoders. For example, a delay 1386 delays the signal z₁(n) by an amount Mk where M is the number of channels and k is the decoding delay. As can be seen, for channel 1, the error terms for all the previous signals are process by the filter 1384 to create a composite cancellation signal that is subtracted (or added depending on filter construction) to remove unwanted noise from the signal on channel 1. The resulting signal s₁(n-Mk) may be provided to a decoder to isolate the channel 1 data.

Memory 1390 is shown as interconnected through out the system of FIG. 13. It is contemplated that memory may be shared, as shown, or interspersed as necessary to interface with the various components and achieve desired operation. Any type memory may be utilized, including, but not limited to RAM, DRAM, DDRAM, and flash memory. The memory may be configured to store one or more of incoming symbols, decoded data, error terms on any of the channels.

As can be seen by examination of FIG. 13, MIMO processing continues to occur on a channel by channel basis, moving to subsequent channels after isolating a error term. The error terms from previous channels are processed by a uniquely tailored filter to modify the error term(s) to create that cancellation signal that is used to remove or cancel unwanted noise on the subsequent channel. After the unwanted noise is removed, decoding of symbols may occur to obtain the encoded data. This process progresses through the channels. It is contemplated that channels that benefit from the MIMO processing will have a greater data transmit rate channels. Hence, channel 1 can be configured to have a greater effective data transmit rate than channel M due to the MIMO noise cancellation.

In an alternative embodiment, one or more encoders are shared between channels. This may reduce the requirements for hardware, software, or both since a fewer number of decoders are provided than there are channels. Hence, a single decoder, or more than one decoder, may be shared between channels utilizing a switch, switch matrix, or other routing system such as control logic. Similarly, the one or more filters may be shared and simply reconfigured with appropriate coefficients to be shared between channels.

Block Codes

On exemplary class or category of coding comprises block codes. Block codes comprise a coding scheme wherein an encoder processes a number of bits or symbols, i.e. a block of data or symbols, to generate an encoded block of symbols. The encoding operates such that when the encoded block is decoded, there exists a limited number, and preferably unique set of decoded symbols or decoded data that corresponds to the encoded block. By comparing the actual decoded data to the set of possible data values, errors may be detected and corrected during decoding. The data to be transmitted is continually grouped in to blocks, encoded, and transmitted in encoded form. Modulation may also occur. The encoded block of symbols or encoded values is transmitted over the one or more channels and upon receipt is decoded to restore the original data. Encoding may be limited on per channel basis. Errors occurring during transmission and instances of confusion during decoding as to the data value(s) represented by an encoded symbol value or block will be revealed and corrected during the decoding process. It should be noted that in one embodiment the decode operation occurs on blocks of encoded symbols wherein the decode operation of one block is completed before beginning the decode operation on the next block. As a result of the encoding/decoding operation, data may be transmitted and received with a lower error rate, or transmitted at a higher effective rate.

FIG. 14 illustrates an operational flow diagram of an example method of MIMO processing and decoding on a block coded signal received over a multi-channel communication system. This is but one exemplary method of operation and it is contemplated that other methods may be enabled without departing from the scope of the invention. At a step 1404, the MIMO processing module and decoding module (hereinafter block MD system) receives a first set of symbol blocks on channel 1 through channel M during a first time period. The first time period is defined as the time period during which the first set of blocks is on each channel. In one embodiment an encoded block is transmitted over each channel of the multi-channel communication system. In other embodiment other methods or arrangements for transmitting one or more encoded blocks over the one or more channels are utilized.

At a step 1408 the block MD system stores the symbol blocks, received over each channel, in a memory or other storage means, and begins decoding the block received over channel M (see FIG. 13 for channel references). Decoding occurs and may have to be completed on channel M before beginning decoding on the other channels so that the errors terms for channel M may be generated. Accordingly at a step 1412, the block MD system stores the data, resulting from the decoding operation, in memory. In one embodiment it is stored in memory so that it may be output in unison with the other data from the other channels. In one embodiment it is stored in memory so that it may used to generate error terms for the other subsequent channels. It is contemplated that the error terms associated with each channel may be stored in memory or calculated when needed during subsequent MIMO processing for each channel.

To perform MIMO processing the error terms are also generated and stored in memory. Generation of the error terms may be considered to be part of the MIMO processing. Thus, at a step 1416 the block MD system retrieves from memory the decoded channel M data and the symbol blocks received over channel M-1 and, at step 1420, the block MD system performs MIMO processing on the channel M-1 symbols block using the channel M data, and in particular the channel M error terms. It is contemplated that this process may also include filtering the one or more error terms to generate a cancellation signal.

After the processing of step 1420, the operation advances to step 1424 wherein the decoder associated with channel M-1 decodes the symbol block received over channel M-1. This process yields the channel M-1 data. At a step 1428, the block MD system stores the channel M-1 data in memory. The data may be output at a later time and used during subsequent processing.

At a step 1432 block MD system retrieves the decoded channel M data and channel M-1 data from memory. Alternatively, the error terms associated with each of these channels may be received instead of the data since the error terms are filtered to create a cancellation signal. Also occurring at step 1432 the symbol block received over channel M-2 is received. Using the information obtained from memory at step 1432, the operation performs MIMO processing on the channel M-2 symbol block. This occurs at step 1436. As described above in conjunction with FIG. 6 the MIMO processing utilizes the noise or error terms from previous channels to cancel unwanted noise on the channel of interest.

At a step 1440 the decoder associated with channel 2 of block MD system decodes the symbol block received over channel M-2. This generates channel M-2 data. At step 1440 the above-described process repeats for channel M-2 and the other remaining subsequent channels up to and including channel 1. Hence, the channel M-2 data generated during decoding is stored in memory, the error term isolated as part of subsequent MIMO processing for channel M-3 and decoding occurs on channel M-3.

Eventually, after the sequential MIMO processing the operation arrives at step 1448 wherein the data generated as a result of the decoding operation associated with each channel is output. It is contemplated that the data associated with each channel may be stored and output across the channel at the same time, or the data may be output right after decoding and not stored in memory. If the data is not stored, then the data may be output upon being decoded. For example, this delays associated with MIMO processing and decoding may be anticipated prior to transmission and accounted for during the encoding operation or transmit operation to thereby allow the data to be synchronized even when output from the MIMO/decoder module immediately after decoding.

As can be appreciated based on the forgoing discussion, the MIMO processing occurs sequentially from channel M to channel 1. The noise cancellation increases with each sequential channel processed, such that the final channel, in the example discussed herein, channel 1, gains the benefit of cancellation from the filtered error terms from all the other previous channels. Concurrently, decoding of a block encoded signals occurs on a channel by channel basis. Inherent in block codes, is a decoding delay k, which is a delay associated with the time between the beginning of receipt of a block of symbols and completion of the decoding of the block. Because of the sequential nature of MIMO processing and the delay associated with block decoding, memory is utilized to store data and or error terms to facilitate processing by subsequent channels.

FIG. 15 illustrates an operational flow diagram of an example method of channel indexing during block MIMO processing and decoding. This is but one example method of indexing and hence other methods are contemplated. This exemplary method may be utilized by a controller, logic controller, or other device configured to oversee operation and/or progress of the MIMO operation between channels, such as after decoding is complete on a channel.

Turning now to FIG. 15, at a step 1504 the operation receives and stores the blocks received over all the channels and over all bins. Then, at a step 1508, the operation sets the channel index j equal to M. The channel counter index j is used to represent a counter variable, representative of a channel undergoing processing or that has completed processing. At step 1512, the system performs MIMO processing on channel j. Thereafter, at step 1516, the system decodes the symbol block received over channel j. After decoding and MIMO processing and decoding, the channel counter variable j is reduced by one. This occurs at step 1520 and at decision step 1524 a determination is made regarding whether j equal zero. If j is not equal to zero, then the operation returns to step 1512. In contrast, if j equal zero, then the operation advances to step 1528 and the operation stops. Additional encoded blocks may be received, processed, and decoded in this manner.

Convolutional Encoding

In contrast to block coding, which operates on discrete blocks of data, convolutional encoding operates on a continuous stream of a data. The encoded data is transmitted and received at a receiver for decoding. During a traditional convolutional decode processing, a decoder associated with a channel receives a continuous stream of encoded symbols and processes these encoded symbols on a continuous basis, thereby yielding a stream of data. There is a delay associated with the decoding, such that receipt of the encoded first symbol at the decoder does not immediate yield data associated with the decoded first symbol. Instead there is a decoding delay k that requires additional symbols to be received and processed. The decoding of additional symbols narrows the possible correct decoding decisions of the first symbol until, a sufficient number of additional symbols are received and decoded to make a final decision regarding the proper decoding decision for the first symbol. Hence, it should be noted that there is a decoding delay k associated with convolutional decoding that represents the additional symbols that must be received and processed before a final decision may be made. Examples of convolutional codes include trellis coded modulation and some turbo coded modulation. Turbo codes or turbo coded modulation may be implemented using block or convolutional codes or a combination of the two.

Incorporating convolutional decoding in a MIMO processing system requires adaptation of the MIMO processing to account for the decoding delay. Thus in summary of one embodiment, the decoding process for a particular symbol of a particular channel is be completed before the error term may be isolated for that particular symbol of that particular channel. Upon calculation of the error term, MIMO processing may occur to reduce or eliminate unwanted noise on one or more subsequent channels. After noise reduction, decoding may then occur on the subsequent channel. As a result, MIMO processing and decoding occur in a sequential manner through the channels.

A memory may is used to store incoming encoded symbols and such symbols must be stored until the MIMO processing and decoding progresses through the channels, at which point the encoded is recalled from memory and decoded. The following figure illustrates this process in more detail.

FIG. 16A illustrates an operational flow diagram of an example method of MIMO processing and decoding on a convolutional encoded signal. This is but one possible method for MIMO processing on a convolutional encoded signal and it is contemplated that other methods exist or may be developed that do not depart from the scope of the claims. At a step 1604 a MIMO processing module and convolutional decoder system (hereinafter convolutional MD system) continually receives encoded symbols on channel 1 through channel M. As it is contemplated that the symbols are continually sent to maximize the transmit rate, at a step 1608 the convolutional MD system stores the received symbols in a memory and begins decoding the symbols received over channel M. It is contemplated that there is a decoding delay defined by a value k that occurs between the start of the decoding of a particular encoded symbol and output from the encoder of data resulting from or associated with that particular symbol.

At a step 1612, the convolutional MD system stores the data in a memory or may optionally output the data directly after decoding. If stored, the data from all channels may be output in synchronized fashion, such as in the manner received. The data may also be, at a step 1616, provided to channel M-1 for MIMO processing. At a step 1624 the operation continues to decode the continually arriving channel M systems as shown by the return to step 1604. As can be appreciate the coded symbols are continually arriving and hence the convolutional decoder associated with channel M continually decodes the incoming symbols and outputs decoded data, after a decoding delay k. The amount of decoding delay k may vary or be fixed depending on the design of the system. This describes the processing associated with channel M

Turning now to the processing associated with channel M-1, at a step 1620, the processing systems associated with channel M-1 retrieves the symbols received over channel M from memory and at a step 1632 sequentially performs MIMO processing on the channel M-1 symbols using the channel M data. This may comprise isolating an error term associated with channel M and filtering this error term to generate a noise cancellation signal. The noise cancellation signal may be combined with, such as subtracted from, the channel M-1 symbols to remove unwanted noise from the M-1 symbols. This improves the accuracy of the decode operation for channel M-1.

After MIMO processing, the operation advances to step 1636 wherein the convolutional MD system begins decoding the symbols received over channel M-1 to thereby generate channel M-1 data. As with channel M, there is a decoding delay k. At step 1640 the channel M-1 system stores the channel M-1 data in memory or any other storage location. Alternatively for any of the channels, the data may be immediately output and error terms calculated and stored in memory. At a step 1644 the channel M-1 system provides the data, or the error terms to channel M-2 for MIMO processing and as shown, the operation returns to step 1632 for continuous processing of incoming encoded symbols.

After the initial delay associated with the decoding delay and any delay from MIMO processing on channel M, processing on channel M-1 is able to operate continuously as it is contemplated that there is a continuously available stream of data or error terms from channel M, the previous channel, to allow for continuous MIMO processing and decoding on channel M-1 The operation branches at identifier A to FIG. 16B.

FIG. 16B illustrates a continuation of FIG. 16A, showing the operational flow diagram of an example method of MIMO processing on a convolutional encoded signal. Working from identifier A, the processing associated with channel M-2 is shown. At a step 1650 the convolutional MD system retrieves the stored channel M-2 symbols from memory and the data, or error terms, from the previous channels for MIMO processing. It is contemplated that the symbols received over channel M-2 are stored until the channel M and channel M-1 processing and decoding is complete so that MIMO processing may occur on channel M-2 to thereby reduce unwanted noise and improve performance. MIMO processing for channel M-2 may utilize the error terms from both channel M and channel M-2. Thus, at a step 1654, the operation sequentially performs MIMO processing on channel M-2 symbols using the error terms (or data) from channel M and channel M-1 As described above, this processing reduces unwanted noise from the signal received over channel M-2.

At a step 1658 the operation decodes the symbols received over channel M-2 after MIMO processing, to generate or restore the data associated with channel M-2. After decoding, the data, or error terms, may be stored in a memory. This occurs at a step 1662. This process for channel M-2 repeats by returning to step 1654. In addition, the operation advances to step 1668 wherein the operation described above continue sequentially through the subsequent channels using the data or error terms isolated on previous channels to reduce noise on a channel being processed. MIMO processing and decoding occur on subsequent channels. It is contemplated that at step 1672 that the operation will periodically or continually monitor for an end of trellis control symbol(s).

In this manner the encoded data may be transmitted over-the numerous channels of the multi-channel communication system and upon reception, subject to MIMO processing and decoding. As can be appreciated there is a decoding delay k associated with decoding and MIMO processing occurs sequentially through the channels. Incoming symbols are stored and hence await processing until completion of decoding and MIMO processing previous channels as described herein.

Hybrid Encoding

In addition to encoding schemes which may be categorizes as block coding or convolutional encoding, it is contemplated that a hybrid category of coding may exist or be developed. In one embodiment hybrid encoding comprises a combination of both block coding and convolutional encoding to create a type of encoding that has shared characteristics of both types encoding. Example of hybrid codes comprise, but are not limited to, encoding schemes that transmit trellis coded data in blocks, or in fixed durations or amounts of trellis coded data, block encoded data that is sent continuously but sub-divided or blocked prior to transmission or after reception, or any other code that is a combination of other types of coding schemes. In another example, it is contemplated that a trellis code may be implemented in a DMT environment, yet terminated at the end of each group of frequencies or bins. In one example embodiment, using 256 DMT tones, the trellis code is run across the 256 tones and then terminated. The process is repeated during the next ‘block’ of trellis encoded tones. It is further contemplated that termination may occur at any location in the ‘block’ of tones.

It is further contemplated and the claims are indented to cover, instances when encoding is constrained on a per channel basis, or in implementations when encoding occurs across channels. Accordingly, decoding may occur on a per channel basis wherein a decoder operates on only symbols received over a particular channel, or a stream of encoded data is spanned across several channels.

It is further contemplated that not all of the channels be encoded. Hence in one example embodiment, only the first few or first half of the channels are encoded. This may reduce the overall processing delay, since there is no decoding delay associated with the uncoded channels. Additionally, selective coding of signals on particular channels may provide the benefit of increasing the overall transmit rate while still reducing the error rate on selected channels. For example, the first few channels processed and decoded benefit from MIMO processing the least, and thus coding may be an ideal solution for these channels.

In one embodiment, common mode voltages are isolated and utilized to generate additional noise cancellation signals. These cancellation signals are then combined with the differential mode voltages that are isolated on at least one channel to thereby cancel noise on that channel. It is contemplated that the noise that is isolated as the common mode voltage is highly correlated between channels and thus, by isolating and processing the common mode voltage on each of the channels, a cancellation signal may be generated, which combined with a differential mode signal, reduces noise on the differential mode signal. This in turn increases the effective data rates that may be achieved on channels subject to this form of noise cancellation.

Before discussing the particulars of FIG. 17 and the invention in general, a brief introduction is provided regarding differential mode voltage and common mode voltage. This discussion is provided in the context of a twisted pair channel comprising two conductors. These principles may, of course, be applied to channels that utilize more than two conductors to thereby implement the invention in any of numerous different embodiments.

As is commonly understood the differential signal or differential voltage is utilized for communication over twisted-pair channels. The differential mode signal is defined as the voltage difference between the signals on the two conductors of the channel. For example, when the signal on one conductor is defined as V₁₀ and the signal on the other conductor is defined as V₂₀, then the differential signal may be defined as: V _(DS) =V ₁₀ −V ₂₀

In contrast, the common mode signal is defined as the average signal carried by the two conductors. For example, using similar signal notation, the common mode signal may be defined as follows: $V_{CS} = \frac{V_{10} + V_{20}}{2}$

It is desired that the common mode signal be maintained at zero, and in many instances the FCC (Federal Communication Commission) may require that the common mode signal be maintained at zero or as close as possible to zero.

In the equations above, the common mode voltage Vcs as well as the other voltages are considered with respect to some common ground voltage. In multichannel communication systems however, one may also define line-to-line common mode voltages as the difference of two common mode voltage signals. For example, if a second channel having two conductors (such as for example, a twisted pair) has voltages V₁₁ and V₂₁ and a common mode voltage $V_{CS}^{\prime} = \frac{V_{11} + V_{21}}{2}$ then the line-to-line common mode signal will be V _(LLCS) =V′ _(CS) −V _(CS)

As can be appreciated, however, twisted-pair conductors were originally installed and intended for use in low frequency voice communication but today are being challenged to carry high frequency communication signals. Moreover these twisted-pair conductors, which may be referred to herein as channels, often exist and are installed in bundles whereby numerous channels are located in close proximity to other channels without shielding. As a result, there is a high likelihood that crosstalk may occur. As defined above, the crosstalk may comprise alien crosstalk or self crosstalk. While unwanted crosstalk was not problematic when the channel is utilized for low frequency voice communication, transmission of high frequency communication data may be hindered by crosstalk between channels, either self or alien type crosstalk.

In a multichannel communication system the signal components that may be present on the one or more channels may comprise the differential mode signal, the common mode signal, differential mode noise, and common mode noise. The signal of interest is the differential mode signal. Interference from differential or common mode signals from alien channels may couple into the differential mode signal on the one or more channels of interest during transmission. Similarly, interference from differential or common mode signals from alien channels is likely to couple into the common mode signal of the one or more channels of interest during transmission of the signals of interest from a first location to a second location. In addition and for purposes of our discussion, it may be assumed that the common mode signal transmitted in each line or channel of interest is zero or a value very close thereto. Hence, there may be common mode noise that couples into channel but absent such noise, the common mode signal can be or is assumed to be zero. As is discussed below in more detail, through isolation and processing of the common mode noise signal, a cancellation signal may be generated and combined with the isolated differential mode signal on each channel to thereby eliminate or reduce the unwanted interference signal (i.e. differential mode noise) that may have coupled or be imbedded into the differential mode signal during transmission of the differential mode signal. In one embodiment it is assumed that based on the common mode noise signal a cancellation signal may be generated that when processed and combined with the signal received over one or more channels, will cancel the unwanted differential mode noise signal.

There are numerous hurdles which must be overcome when attempting to isolate the common mode noise signal. One such hurdle arises as a result of the magnitude of the common mode noise signal in relation to the overall magnitude of the received differential signal or any other signals that may couple into the channel such as low frequency coupling from power lines. Another such hurdle is the processing that must be performed upon the common mode noise signal so that an appropriate cancellation signal may be generated for the one or more channels of the multi-channel communication system. The method and apparatus described herein provides a new and novel approach to canceling unwanted noise that may couple into a signal. In addition to the novel approach for canceling noise, new and novel methods and apparatus of isolating the common mode signal, for example, the common mode noise, are disclosed herein.

FIGS. 17A and 17B illustrate example embodiments of a multi-channel communication system having a common mode noise cancellation system. FIG. 17A is directed to an embodiment configured to perform isolation of a common mode noise signal on a single channel, such as for example a single pair. It is contemplated that this is but one possible example embodiment and that others of ordinary skill in the art may create other embodiments that do not depart from the scope of the claims that follow. Furthermore, although shown in a multi-channel embodiment, it is fully contemplated that the method and apparatus described herein may be embodied in a single channel embodiment. In addition, although FIGS. 17A & 17B and subsequent Figures suggest that the processing of FIGS. 17A & 17B occurs in the analog domain, it is fully contemplated that the processing of FIGS. 17A & 17B, or the systems shown in any other Figure, may occur in the digital domain.

As shown in FIG. 17A, channel zero (CH-0) through channel N (CH-N) connect to an analog front end 1704. It is contemplated that each of the channels comprise two or more conductors capable of carrying a differential mode signal. The differential mode signal comprises the difference between the signal on two or more of the conductors that make up the channel. As used herein the variable N may comprise any positive integer and thus, the system may be configured with any number of channels. The analog front end may perform any type processing as would be understood by one of ordinary skill in the art such as but not limited to line isolation, amplification, and filtering.

The outputs of the analog front end 1704 feed into differential mode signal isolators 1708A, 1708B, 1708C, 1708N and into common mode signal isolation units 1712A, 1712B, 1712C, 1712N. There may be isolation units for channel 0 through channel M where M equals any whole number and the variable M may be, but does not have to be equal to N.

As shown, the differential mode signal isolators 1708A, 1708B, 1708C, 1708N and common mode signal isolation units 1712A, 1712B, 1712C, 1712N may be associated with a channel. It is contemplated that not every channel must utilize the common mode noise cancellation as described herein and thus, in certain embodiments, only select channels may have common mode signal isolation units 1712A, 1712B, 1712C, 1712N associated therewith. Due to space limitations the common mode signal isolation units are shown at the bottom of FIG. 17.

The differential mode signal isolation units 1708 are configured to isolate and output the differential mode signal carried by the channel with which the differential mode signal isolation unit is associated. In one embodiment the channel comprises two twisted-pair conductors. Differential mode signal isolation is understood by those of ordinary skill in the art and thus, is not described in great detail herein.

A cancellation signal generation module 1718, shown within the dashed enclosure, comprises the common mode signal isolation units 1712 and filters 1720. The cancellation signal generation module 1718 is configured to generate the cancellation signal. It should be noted that the common mode signal isolation units 1712, which are part of the module 1718 may be configured as individual units or configured as an integrated system whereby each unit has access to the signals on the other channels. Various implementation examples of the common mode signal isolation units 1712 are provided and discussed below.

Returning now to the top of FIG. 17, the output of the differential mode signal isolation units 1708 connect to junctions 1716A, 1716B, 1716C, 1716N. In this embodiment the junctions 1716 comprise summing junctions, however, in other embodiments the junctions may be configured in a different matter or as other devices without departing from the overall functionality of the claims that follow. The junctions 1716 also receive as input the cancellation signals from the cancellation signal generation module 1718. As shown, the junctions 1716 combine the differential mode signal and cancellation signal. Thus, the output of the junctions 1716 comprises the differential mode signal that has had unwanted noise and other unwanted interference removed from the differential mode signal. As a result, the bit error rate may be reduced, the effective data rate may be increased, or both.

In a one embodiment only a subset of the available differential signals may require the extra noise cancellation capability offered by the current invention. In that embodiment only selective channels would include the junctions 1716 and the associated filters 1720 thereby reducing the overall complexity of the solution.

Turning now to the cancellation signal generation module 1718, the signals contained on each respective channel are provided to the common mode signal isolation units 1712 as shown. The common mode signal isolation units comprise hardware, software or both configured to isolate the common mode signal contained on the channel. As it is commonly understood, the common mode signal comprises a signal that is common or shared by two or more of the conductors of the channel. In this embodiment utilizing a two conductor channel, the common mode signal comprises the signal contained on both conductors. The common mode signals which are outputs from the common mode signal isolators 1712A, 1712B, 1712C, . . . , 1712M are provided to each of the filters 1720, which may be considered for purposes of this discussion as being associated with each particular channel. The filters 1720 process or modify the common mode signals from one or more channels to thereby generate a cancellation signal that is tailored to cancel noise in the differential signal on its associated channel. In one embodiment the filters 1720 comprise digital, adaptive type filters configured to modify, i.e. tailor, the common mode noise signals to cancel unwanted noise from each channel. It is further contemplated that the filters 1720 may comprise analog filters, or filtering done by software using a processor, or any other device or system capable of generating a cancellation signal based on the isolated common mode signal. As described above in more detail the output of each filter 1720 comprises a cancellation signal associated with a particular channel. This cancellation signal is provided to one of the junctions 1716 to thereby cancel unwanted noise.

FIG. 17B illustrates another embodiment of the multichannel communication system shown in FIG. 17A that is configured to operate on a channel to channel or pair to pair basis. As compared to FIG. 17A, only the aspects which differ are described in detail. In comparison to FIG. 17A, FIG. 17B is configured to perform common mode noise signal isolation utilizing common mode noise signal isolation units 1780A, 1780B, . . . 1780M as shown. The common mode noise signal isolation units 1780 configured to receive signal from two channels. In the example embodiment having a channel comprised of a twisted pair of conductor, then two twisted pair conductors would be provided to a each common mode isolation unit. Because it is assumed that the common mode signal is zero and hence the only common mode signal is the noise signal, the common mode noise signal isolation unit may be referred to as a common mode signal isolation unit.

In one example embodiment the structure of FIG. 17B is well suited to be operated in connection with the common mode signal isolation embodiment shown in FIG. 18 which is configured to connect to two channels. In contrast, the embodiment FIG. 17A is well suited for use with the embodiments shown in FIGS. 19-21. FIGS. 18-21 are discussed below in greater detail.

FIG. 18 illustrates a block diagram of an example embodiment of a common mode signal isolation unit, shown as element 1780 in FIG. 17B. This is but one possible embodiment of a common mode signal isolation unit and thus, it is contemplated that one of ordinary skill in the art may arrive at other embodiments that do not depart from the claims that follow. The embodiment of FIG. 18 comprises a common mode signal isolation unit 1780 that utilizes the signal on two channels to isolate the pair-to-pair common mode noise signal. In the embodiment shown each channel comprises two conductors. On the left hand side of FIG. 18 a channel zero input and a channel one input connects to the isolation unit 1780A. The channel zero signal comprises the voltage V₁₀ and V₂₀, which comprises the voltage on the first conductor of channel zero and the voltage on the second conductor of channel zero. These signals feed into a transformer 1808 configured as shown. Likewise, the conductors of channel one provide a signal V₁₁ and a signal V₂₁ to a transformer 1816 configured as shown. The transformers 1808, 1816 comprise any communication type transformer as may be configured to perform as described herein. Communication type transformers often provide line isolation between the channel and the communication device and are generally known and understood by those of ordinary skill in the art and hence are not described in great detail herein. It is contemplated that the transformers 1808, 1816 may provide line isolation or may be in addition to a line isolation transformer.

A center tap 1812 connects to the transformer 1808 to obtain the common mode signal from channel zero. This common mode signal is provided through a capacitor 1824A to an amplifier 1830 via an optional isolation transformer 1810. A similar configuration is associated with the transformer 1816 whereby a center tap connection 1820 connects to the center tap of the transformer to thereby isolate the common mode signal on channel one. This common mode signal is input to the amplifier 1830 via capacitor 1824B and the optional isolation transformer 1810. The capacitors 1824A and 1824B are optional in this design and are used to block possible DC current that may be present while the transformer 1810 may serve to establish line isolation The amplifier 1830 may comprise any type amplifier as would be understood by one of ordinary skill in the art. In this embodiment the amplifier 1830 comprises a differential amplifier configured to output and optionally amplify the difference between the amplifier inputs. It is assumed that appropriate biasing, which is not shown, occurs as appropriate to enable amplifier operation.

With regard to the operation of the components just discussed, the conductors 1812, 1820 connect to center tap of the transformer 1808, 1816 and as such, the differential mode signal at this point should be zero and thus, the only signal provided on paths through the capacitors 1824 is the common mode signal and the common mode noise signal. It is assumed and intended that the common mode signal on each of the channels is zero. Therefore, the only signal provided to the amplifier 1830 via capacitors 1824 and isolation transformer 1810 is the common mode noise signal that has coupled onto channel one and channel zero. By tapping off of the center tap 1812, 1820 of the transformers 1808 and 1816, the common mode noise signal may be isolated for subsequent processing, while the differential mode signal is rejected. The differential mode signal is rejected because at the center tap of a transformer the electric field properties of the transformer results in a zero differential voltage. Stated another way the differential mode voltages may be considered as canceling at the center tap thereby providing only the common mode signal

The amplifier output comprises the difference between two common mode noise signals or an amplified version of the two common mode noise signals. This resulting signal is provided to a filter 1834. The filter 1834 may comprise any type filter as would be utilized to isolate a particular frequency band or portion of the common mode noise signal's frequency spectrum. Thus, the filter 1834 may comprise a band pass filter or a high pass filter, or a combination of both. In one embodiment it is contemplated that the channels of the communication system may operate in full duplex mode or the channel may be shared with voice communication in the lower frequency bands. Therefore, it may be desired to only isolate the common mode noise that falls within a particular frequency band of interest. This frequency band may comprise the frequency band in which the differential mode signal of interest is transmitted.

The analog to digital converter 1842 converts the analog input to a digital signal for subsequent processing, such as for example as shown in FIG. 17. It is contemplated that the analog to digital conversion may occur at any stage in the circuit depending upon the particular design selected for implementation. The claims should not be considered as being limited to the particular conclusion or arrangement of the devices shown in FIG. 18 as it is fully contemplated that other method and apparatus will be developed for isolating the common mode noise signal in addition to the embodiments shown.

FIG. 19 illustrates an alternative embodiment of the common mode signal isolation unit. In this alternative embodiment the signal isolation unit processes the signal on a single channel, in this Figure channel zero. It is contemplated that identical or similar circuitry would be provided for or associated with one or more of the channel to thereby isolate the common mode signal components on each channel. As shown, the conductors of channel zero provided a signal V₁₀ and a signal V₂₀ to a three winding sensing transformer 1908. Thus, sensing transformer 1908 may also be referred to as a three winding common mode transformer. The sensing transformer 1908 comprises two primary windings 1912 and a sensing winding 1916. The conductors of channel zero connects to the primary winding 1912 and after passing through the winding connect to a secondary transformer 1924 configured to provide line isolation and isolate the differential mode signal and the common mode signal noise associated with channel zero. A center tap 1928 may connect to earth ground either directly or via an isolation capacitor 1926 to create a return path for the common mode current.

The sensing winding 1916 is located in proximity to the windings 1912 to thereby detect the fields generated by the winding 1912. One terminal of the sensing winding 1916 may optionally be connected to a reference point or ground 1932. The other terminal of the sensing winding is terminated by a resistor 1930. The voltage across the resistor 1930 serves as the input to the amplifier 1936. When the amplifier 1936 is configured as a differential amplifier the output comprises the common mode signal and the common mode noise signal.

Since it is assumed that the common mode signal comprises zero, the output of the amplifier 1936 comprises only the common mode noise signal. The filter 1940 and analog to digital converter 1948 may be configured generally similar to the embodiment described above in conjunction with FIG. 18. As such, these elements are not described in detail again.

In operation, the differential mode signal on channel zero passes through the transformer windings 1912 to transformer 1924 whereby the differential mode signal is isolated. When passing through windings 1912, the signal on channel zero generates one or more electromagnetic fields. In particular differential mode signal V₁₀ generates a magnetic field that couples into the sensing winding 1916. Likewise the differential mode signal V₂₀ also generates a magnetic field that couples into the sensing winding 1916. However, these two fields, created by the differential mode signals, cancel which in turn prevents an electrical current from being generated in the sensing winding 1916. Stated another way, the current flows in the windings 1912 are in opposite directions and thereby the resulting fields cancel. This in turn causes rejection of the differential mode signal as desired.

With regard to the common mode signal components, the passage of the currents on channel zero through the winding 1912 may comprise a common mode noise signal. This common mode noise signal when passing through the windings 1912 generates an electromagnetic field that couples into the sensing winding 1916. This field does not cancel or get canceled by an opposing field as did the fields created by the differential mode signals. As a result an electrical signal (current) equivalent to the common mode signal and common mode noise signal is generated within the sensing winding 1916. Because the common mode signal is zero the only signal within the sensing winding 1916 is the common mode noise signal. This voltage (common mode noise signal) appears across resistor 1930 and is amplified by the amplifier 1936.

The embodiment of FIG. 19 can isolate the common mode signal from a single pair without requiring the presence of more pairs. In contrast, the embodiment of FIG. 18 requires two or more pairs.

FIG. 20 illustrates a block diagram of an alternative embodiment of a common mode signal isolation unit. As stated above in connection with the other figures this is but one possible example embodiment and as such that claims that follow should not be limited to this particular configuration. In summary this embodiment combines the principles of the embodiments shown in FIG. 18 and FIG. 19 to provide a two-stage common mode signal isolation system.

This embodiment operates on a single channel and as such channel zero is shown as connecting to the first stage of the isolation unit. It is contemplated that the system of FIG. 20 may connect to one or more channels as would be understood based on the teachings of FIG. 17. In particular, a signal V₁₀ is provided on one of the conductors and a signal V₂₀ is provided on the other conductor of the channel. Both of these conductors connect to a transformer 2004. Although shown as two separate windings it is contemplated that the transformer 2004 may comprise a single transformer unit and the pair of conductors 2006 may be tapped at the center point of the channel side winding. The capacitors 2008, 2026, 2027 are optional and can be replaced by short circuits in other embodiments. The capacitors 2008, 2026, 2027 may be necessary when it is desired to apply DC power through the center tap of transformer 2004 as is sometimes the case. Such a situation is often referred to as a line powered environment.

As described above in connection with FIG. 18, the output of the transformer 2004, from center tap connection 2006, comprises the common mode signal and any common mode noise on channel zero. It is contemplated that this configuration may provide rejection of the differential mode signal and the level or degree of isolation is dependent upon the precision of the center tap placement in transformer 2004. In certain instances it may be necessary to provide isolation between line voltages and circuit voltages. Accordingly the output of the center taps of the first stage transformer 2004 connects to a second stage of the common mode signal isolation unit which in this embodiment comprises a three winding common mode sensing transformer 2012. In this embodiment the second stage comprises a primary winding 2016 and a sensing winding 2020. As can be appreciated this second stage configuration is similar to the embodiment shown in FIG. 19.

In operation, the common mode signal provided from the first stage passes through the primary windings 2016 to a ground or chassis reference via path 2024. A pair of capacitors 2026, 2027 may be provided in series with the paths to ground to provide a current return path to a ground or chassis reference. As is described above in greater detail any differential mode signal flow through the primary windings 2016 generates an electromagnetic field in the secondary windings 2020. However, these signal flows will be in opposing directions through the windings thereby creating offsetting electromagnetic fields. In turn, these offsetting fields cancel thereby further rejecting differential mode signals.

In contrast, as the common mode signal passes through the primary winding 2016 the current flow is in the same direction and hence it does not create offsetting electromagnetic fields. Thus, it generates an electrical signal (current) in the sensing winding 2020. The signal that is generated comprises a current, which appears as a voltage across a resistor 2028. This voltage is provided as an input to the amplifier 2040 which is configured to amplify or generate the common mode signal on channel zero.

As discussed above, the common mode signal is generally maintained at zero which causes the output of the amplifier to comprise the common mode noise signal component. This common mode noise signal is input to a filter 2044 which in turn is connected to an analog to digital converter 2050, which transforms the common mode noise signal to the digital domain. Elements 2040, 2044, and 2050 may be configured to operate as described above and hence are not described in detail again.

FIG. 21 illustrates an alternative embodiment of the configuration shown in FIG. 20 by providing a block diagram of a common load isolation unit configured to operate in an environment without line powering. As shown, channel zero connects to the channel side of transformer 2004. The output side or communication side of the transformer may be configured to carry the differential mode signal. A center tap from the channel side of the transformer 2004 connects to a second stage transformer 2110 as shown. Transformer 2110 is used in this embodiment to provide isolation between line side voltages and circuit voltages. In many applications this is essential as communication lines are subject to voltages such as lightening and contact with power lines. Signal flow through a first winding of the transformer 2110 passes through a capacitor 2116 to a ground, chassis or reference node 2120. Capacitor 2116 in this embodiment provides a dc blocking function which prevents any dc voltage on the lines from causing a dc current to flow to ground, it also can be used to provide a second order high pass function (along with the primary inductance of transformer 2110) which may be used to filter any induced power line frequencies. The current flow through the primary winding of 2110 creates an electric field that induces current flow in the secondary winding of the transformer 2110 to thereby generate a voltage across resistor 2028. This signal or voltage is provided as an input to amplifier 2040 to thereby isolate the common mode signal components, i.e. the common mode noise signal since the common mode signal is zero. As described above, the output of the amplifier is provided to elements 2044, and 2054 for subsequent processing. In an alternative embodiment, the transformer 2110 is replaced with resistor 2028 such that the common mode signal from the center tap of transformer 2004 passes through the resistor 2028 to thereby generate the common mode signal that is provided as an input to the amplifier 2040.

It is further contemplated that the various embodiments shown in here for isolating the common mode noise component from the received signal(s) and processing the common mode noise component into a cancellation signal tailored to cancel differential mode noise may operate in conjunction with DMT (discrete multi-tone transmission). For example, the cancellation processing may operate in a DMT environment on a frequency bin by frequency bin basis. As a result, the benefits of DMT type processing may be combined with the use of common mode noise isolation and processing to generate a cancellation signal. As a result, data transmit rates may be increased, bit error rates decreased, or both. DMT system processing is described above in greater detail and is hence not described again.

It is further contemplated that the common mode noise isolation and cancellation system may be embodied in conjunction with a multiple input, multiple output (MIMO) processing in a multi-channel communication system. MIMO is describe above in detail and is not described above. The combination of the noise cancellation ability of a MIMO processing system in conjunction with the mode noise isolation and cancellation system provides significant noise cancellation and as such provides for increased data transmit rates, reduced bit error rates, or both.

While various embodiments of the invention have been described, it will be apparent to those of ordinary skill in the art that many more embodiments and implementations are possible that are within the scope of this invention. In addition, the various embodiments shown or described herein may be provided or claimed alone or in any combination. 

1. A method for canceling noise on a signal received on a communication channel, the method comprising: receiving the signal, wherein the signal comprises a differential mode noise component and a differential mode signal component; processing the signal to isolate a common mode component; filtering the common mode component to create a cancellation signal; combining the cancellation signal with the signal to cancel the differential mode noise component from the signal to thereby isolate the differential mode signal component; outputting the isolated differential mode signal component.
 2. The method of claim 1, wherein filtering comprises performing processing with a digital filter to thereby cause the common mode noise component to more closely resemble the differential mode noise component.
 3. The method of claim 1, wherein the channel comprises a twisted pair of conductors.
 4. The method of claim 1, wherein the method is performed on the signal received over each channel of a multi-channel communication system.
 5. The method of claim 1, wherein processing the signal to isolate the common mode component comprises isolating the common mode component utilizing one or more transformers.
 6. A method for processing a received signal in a multi-channel communication system to reduce unwanted noise, the method comprising: receiving two or more signals over two or more channels, wherein each of the two or more signals comprise a differential mode component and a common mode component; for at least one channel of the multi-channel communication system: isolating the differential mode component through a differential mode isolation unit providing the differential mode component to a junction; isolating the common mode component through a common mode isolation unit providing the isolated common mode component to a filter; processing the common mode component with the filter to generate a cancellation signal; providing the cancellation signal to the junction; and combining, within the junction, the cancellation signal with at least one signal received over the at least one channel to thereby remove the noise in the differential mode component from the signal received over the at least one channel.
 7. The method of claim 6, wherein the at least one channel comprises at least one twisted pair of conductors and the common mode component may be correlated to the noise in the differential mode component.
 8. The method of claim 6, wherein processing the signal with the common mode isolation unit comprises providing the signal to at least one transformer stage to thereby isolate the common mode noise component.
 9. The method of claim 6, wherein processing with the filter comprises processing the common mode component with a digital filter having coefficients selected to modify the common mode noise component into a cancellation signal tailored to cancel the noise present on the differential mode component of a particular channel.
 10. The method of claim 6, wherein processing with the filter comprises processing each common mode component isolated from each signal received over each channel with a filter tailored for each channel.
 11. A communication system for processing a received signal to isolate and cancel noise from two or more incoming signals comprising: two or more inputs configured to receive two or more incoming signals; at least two common mode isolation units configured to isolate the common mode component of the two or more incoming signals, wherein a common mode isolation unit comprises: at least one transformer configured to isolate a common mode component; at least one digital filter configured to receive the common mode component and process the common mode component to generate a cancellation signal; at least one junction associated with at least one channel configured to receive the cancellation signal and combine the cancellation signal with at least one of the incoming signals received over the channel with which the junction is associated, wherein combining the cancellation signal with an incoming signal removes unwanted noise from an incoming signal.
 12. The system of claim 11, wherein the common mode isolation unit comprises: a first input configured to receive a first signal from a first channel; a second input configured to receive a second signal from a second channel; a first transformer configured to receive the first signal, wherein the first transformer has a center tap configured to output a first center tap signal; a second transformer configured to receive the second signal, wherein the second transformer has a center tap to output a second center tap signal; an amplifier configured to receive the first center tap signal and the second center tap signal and output the common mode component.
 13. The system of claim 11, wherein the common mode isolation unit comprises: a sensing transformer configured to receive the signal and generate one or more electric fields thereby generating a sensing winding signal in a sensing winding of the sensing transformer; amplifier configured to receive the sensing winding signal or a signal representing the sensing winding signal and output a modified version of the sensing winding signal, wherein the modified version of the sensing winding signal comprise the common mode component.
 14. The system of claim 11, wherein the common mode isolation unit comprises: a first transformer, having a center tap connection, configured to receive the first signal; a sensing transformer configured to receive the first signal and thereby generate one or more electric fields which in turn generates a sensing winding signal in a sensing winding; an amplifier configured to receive and amplify the sensing winding signal, which represents the common mode noise signal, and output a modified version of the common mode noise signal.
 15. The communication system of claim 11, further comprising a line isolation unit associated with each channel, wherein a line isolation unit is configured to isolate the communication system from the communication channel.
 16. The communication system of claim 11, wherein the junction comprises a summing junction.
 17. A method for canceling unwanted noise from a signal received over a multi-channel communication system comprising: receiving two or more signals over two or more channels, wherein each signal comprises a differential mode component and a common mode component; processing at least one of the two or more signals to isolate a common mode component associated with at least one of the two or more signals; filtering the isolated common mode component to create a cancellation signal; and combining the cancellation signal with at least one received signal or at least one differential mode component to reduce noise in the differential mode component.
 18. The method of claim 17, wherein processing comprises obtaining a center tap signal from a center tap of a transformer configured to receive the at least one signal, wherein the center tap signal comprises the common mode noise component.
 19. The method of claim 17, wherein processing comprises generating one or more electric fields by passing the at least one signal through at least one winding of a sensing transformer to thereby generate a sensing winding signal in a sensing winding of the sensing transformer, wherein the sensing winding signal represents the common mode noise signal.
 20. The method of claim 17, wherein processing comprises obtaining a center tap signal from a center tap of a first transformer and generating one or more electric fields by passing the center tap signal through at least one winding of a sensing transformer to thereby generate a sensing winding signal in a sensing winding of the sensing transformer, wherein the sensing winding signal represents the common mode noise signal.
 21. The method of claim 17, further comprising amplifying the common mode noise signal prior to filtering.
 22. The method of claim 17, wherein the multi-channel communication system operates in a discrete multi-tone modulation environment.
 23. The method of claim 17, wherein the processing and filtering occurs on a frequency bin by frequency bin basis and the two or more signals are modulated based on a discrete multi-tone modulation scheme.
 24. A system for canceling unwanted noise from a signal received over a multi-channel communication system comprising: means for receiving two or more signals over two or more channels, wherein each signal comprises a differential mode component and a common mode component; means for processing at least one of the two or more signals to isolate a common mode component associated with the two or more signals; means for filtering the isolated common mode component to create a cancellation signal; and means for combining the cancellation signal with at least one received signal or the differential mode component to cancel or reduce noise in the differential mode component and thereby isolate a signal of interest.
 25. The system of claim 24, wherein the means for processing comprises one or more transformers configured to reject the differential mode component to thereby isolate the common mode component.
 26. The system of claim 24, wherein the means for filtering receives a common mode component associated with each signal received over each channel of the multi-channel communication system and processes the common mode component to approximate the noise in the differential mode component. 